Bin Wang
- Atmospheric Science top 0.01%
- Meteorological Phenomena and Simulations 258
- Tropical and Extratropical Cyclones Research 214
- Geology and Paleoclimatology Research 46
- Cryospheric studies and observations 31
- Global and Planetary Change top 0.01%
- Climate variability and models 446
- Oceanography top 0.01%
- Oceanographic and Atmospheric Processes 183
- Ocean Waves and Remote Sensing 54
- Marine and coastal ecosystems 30
- Earth-Surface Processes top 0.5%
- Water Science and Technology top 1%
- Co-authors
- Renguang WuXiouhua FuQinghua DingTim LiJune‐Yi LeeJian LiuBaoqiang XiangKazuyoshi Kikuchi
- Journals
- Journal of Climate (119 papers)Climate Dynamics (83 papers)Geophysical Research Letters (59 papers)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Bin Wang
501 papers receiving 41.6k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Atmospheric Science 36.9k
- Global and Planetary Change 37.9k
- Oceanography 17.6k
- Earth-Surface Processes 808
- Water Science and Technology 1.1k
Countries citing papers authored by Bin Wang
This map shows the geographic impact of Bin Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Bin Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Wang more than expected).
Fields of papers citing papers by Bin Wang
This network shows the impact of papers produced by Bin Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Bin Wang. The network helps show where Bin Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bin Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 14 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 10 | |
| 9 | 2023 | 2 | |
| 10 | 2022 | 67 | |
| 11 | 2022 | 2 | |
| 12 | 2021 | 0 | |
| 13 | 2021 | 109 | |
| 14 | 2020 | 5 | |
| 15 | 2020 | 54 | |
| 16 | 2019 | 112 | |
| 17 | 2018 | 24 | |
| 18 | 2018 | 32 | |
| 19 | 2017 | 86 | |
| 20 | [Estimation of the effect derived from wind erosion of soil and dust emission in Tianjin suburbs on the central district based on WEPS model]. | 2012 | 5 |
About Bin Wang
Bin Wang is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography, having authored 511 papers that have together received 42.4k indexed citations. Recurring topics across this work include Climate variability and models (446 papers), Meteorological Phenomena and Simulations (258 papers), Tropical and Extratropical Cyclones Research (214 papers), Oceanographic and Atmospheric Processes (183 papers), Ocean Waves and Remote Sensing (54 papers), Geology and Paleoclimatology Research (46 papers), Cryospheric studies and observations (31 papers) and Marine and coastal ecosystems (30 papers). The work is most often cited by research in Atmospheric Science (36.9k citations), Global and Planetary Change (37.9k citations) and Oceanography (17.6k citations). Bin Wang has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Renguang Wu, Xiouhua Fu, Qinghua Ding, Tim Li, June‐Yi Lee, Jian Liu, Baoqiang Xiang, Kazuyoshi Kikuchi, Xiaosu Xie and Soon‐Il An. Their work appears in journals such as Journal of Climate, Climate Dynamics, Geophysical Research Letters, Journal of the Atmospheric Sciences and npj Climate and Atmospheric Science.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.